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Record W2103789773 · doi:10.7202/011177ar

Clamence et l’interlocuteur : pragmatique de la manipulation et de l’identification dans le discours de La Chute de Camus

2005· article· fr· W2103789773 on OpenAlexvenueno aff
Gilles Visy

Bibliographic record

VenueProtée · 2005
Typearticle
Languagefr
FieldArts and Humanities
TopicLinguistics and Discourse Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophyArt

Abstract

fetched live from OpenAlex

Le double jeu de Clamence, à la fois juge et pénitent dans l’interface de l’être et du paraître, semble être le ressort de l’identification du lecteur à l’interlocuteur. Clamence s’adresse à une sorte de grand énonciataire : l’humanité en général et par ricochet le lecteur. La pragmatique du discours de La Chute se construit sur quatre actants : énonciateur-locuteur / interlocuteur-énonciataire. Ces deux entités n’en font qu’une seule et, par contrecoup, l’énonciateur sera assimilé à l’énonciataire par le biais du lecteur. Dans La Chute, émerge en fait tout un jeu de miroirs discursifs dans lequel, d’une part, Clamence élabore son mea culpa et, d’autre part, juge l’humanité comme s’il était une sorte de démiurge divin. Le réquisitoire s’achève sur une note pessimiste qui ne fait que traduire une farce noire dont le procès discursif n’est que pure ironie.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.087
Threshold uncertainty score0.174

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0160.019
Scholarly communication0.0060.004
Open science0.0010.004
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0080.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.321
Teacher spread0.308 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2005
Admission routes1
Has abstractyes

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